Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 1
Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-611-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-611-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 1
Research article
 | 
29 Jan 2026
Research article |  | 29 Jan 2026

From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China

Weifeng Xiao, Guangchong Yao, Zhenghui Xiao, Ge Liu, Luguang Luo, Yunjiang Cao, and Wei Yin

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Short summary
In China’s Zixing City, typhoon landslides are rising with climate change. This study used machine learning on Typhoon Gaemi (2024) data, identifying 86.4 % of high-risk landslides. A rainfall model (24 h+7-day) achieved 71.8 % accuracy, guiding a warning system matching 71.4 % of historical events.
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